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Day: July 27, 2020

AI Approach Relies on Big Data and Machine Learning to Design New Proteins – Genetic Engineering & Biotechnology News

A team lead by researchers in the Pritzker School of Molecular Engineering (PME) at the University of Chicago reports that it has developed an artificial intelligence-led process that uses big data to design new proteins that could have implications across the healthcare, agriculture, and energy sectors. By developing machine-learning models that can review protein information…

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    Artificial Intelligence to identify individual birds of same species – Science Daily

    Humans have a hard time identifying individual birds just by looking at the patterns on their plumage. An international study involving scientists form the CNRS, Université de Montpellier and the University of Porto in Portugal, among others, has shown how computers can learn to differentiate individual birds of a same species. The results are published…

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      Appen’s 2020 State of AI and ML report

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        MIT CSAIL employs machine learning to optimize vaccine designs

        VB Transform Watch every session from the AI event of the year On-Demand Watch Now A study coauthored by researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) describes an open source system that introduces methods for designing, evaluating, and augmenting both new and existing vaccine designs. The system — OptiVax — leverages machine…

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          Machine learning could reduce improper CARES Act payments – Federal News Network

          Best listening experience is on Chrome, Firefox or Safari. Subscribe to Federal Drive’s daily audio interviews on Apple Podcasts or PodcastOne.The problem with finding out you’ve sent money to ineligible or deceased people is that it’s too late. Much of the money can be nonrecoverable. Gary Shiffman, who teaches artificial intelligence at Georgetown University, argues that the right…

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            Artificial Intelligence, Health Disparities, and Covid-19 – Undark Magazine

            The power of artificial intelligence has transformed health care by using massive datasets to improve diagnostics, treatment, records management, and patient outcomes. Complex decisions that once took hours — such as making a breast or lung cancer diagnosis based on imaging studies, or deciding when patients should be discharged — are now resolved within seconds…

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              The rise of machines: Timeline of the evolution of Artificial Intelligence – First, what is the big fuss really? – Economic Times

              ET Bureau|27 Jul 2020, 04:42 PM IST1/7​First, what is the big fuss really?In July, San Francisco-based OpenAI stunned everyone with the capabilities of its AI language model, the GPT-3. The text generator can pen fiction, compose poetry and write business memos — all without any human intervention. Simply put, it is being seen as a…

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                Machine Learning Builds Artificial Proteins That Rival Nature’s Own – Technology Networks

                Proteins are essential to cells, carrying out complex tasks and catalyzing chemical reactions. Scientists and engineers have long sought to harness this power by designing artificial proteins that can perform new tasks, like treat disease, capture carbon or harvest energy, but many of the processes designed to create such proteins are slow and complex, with…

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                  Learn Machine Learning and AI – Online Training Program @ 93% OFF – Internet

                  Within the next decade, artificial intelligence is likely to play a significant role in our everyday lives. Machine learning already powers image recognition, self-driving cars, and Netflix recommendations.For any aspiring developer, learning how to code smart software is a good move. These skills are highly valued in tech, finance, sales, marketing, and many other sectors.The…

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                    Climate change and machine learning – The Ecologist

                    Machine learning could play a crucial part in the ongoing fight against climate breakdown.Effectively dealing with emissions is a climate change mitigation technique with tremendous potential. When we really can’t get rid of emissions, minimizing their impact on the planet is often the next-best option. Researchers have relied on machine learning to identify the best ways…

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